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transpose_transdata_pass_unittest.cc 2.6 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #include <vector>
  17. #include <gtest/gtest.h>
  18. #define protected public
  19. #define private public
  20. #include "graph/passes/transpose_transdata_pass.h"
  21. #include "graph_builder_utils.h"
  22. #undef private
  23. #undef protected
  24. #include "graph/graph.h"
  25. #include "common/ge_inner_error_codes.h"
  26. #include "common/types.h"
  27. #include "graph/debug/ge_attr_define.h"
  28. namespace ge {
  29. class UtestGraphPassesTransposeTransdataPass : public testing::Test {
  30. protected:
  31. void SetUp() {}
  32. void TearDown() {}
  33. };
  34. static ComputeGraphPtr BuildGraphTransposeD() {
  35. auto builder = ut::GraphBuilder("g1");
  36. auto transdata1 = builder.AddNode("transdata1", "TransData", 1, 1, FORMAT_NC1HWC0, DT_FLOAT, std::vector<int64_t>({1, 1, 224, 224, 16}));
  37. transdata1->GetOpDesc()->MutableOutputDesc(0)->SetFormat(FORMAT_NHWC);
  38. transdata1->GetOpDesc()->MutableOutputDesc(0)->SetShape(GeShape(std::vector<int64_t>({1, 224, 224, 3})));
  39. auto transpose1 = builder.AddNode("transpose1", "TransposeD", 1, 1, FORMAT_NCHW, DT_FLOAT, std::vector<int64_t>({1, 3, 224, 224}));
  40. transpose1->GetOpDesc()->MutableInputDesc(0)->SetFormat(FORMAT_NHWC);
  41. transpose1->GetOpDesc()->MutableInputDesc(0)->SetShape(GeShape(std::vector<int64_t>({1, 224, 224, 3})));
  42. auto transdata2 = builder.AddNode("transdata2", "TransData", 1, 1, FORMAT_NCHW, DT_FLOAT, std::vector<int64_t>({1, 3, 224, 224}));
  43. transdata2->GetOpDesc()->MutableOutputDesc(0)->SetFormat(FORMAT_NC1HWC0);
  44. transdata2->GetOpDesc()->MutableOutputDesc(0)->SetShape(GeShape(std::vector<int64_t>({1, 1, 224, 224, 16})));
  45. builder.AddDataEdge(transdata1, 0, transpose1, 0);
  46. builder.AddDataEdge(transpose1, 0, transdata2, 0);
  47. return builder.GetGraph();
  48. }
  49. TEST_F(UtestGraphPassesTransposeTransdataPass, test_run) {
  50. auto compute_graph = BuildGraphTransposeD();
  51. compute_graph->SetSessionID(0);
  52. auto transpose = compute_graph->FindNode("transpose1");
  53. TransposeTransDataPass pass;
  54. EXPECT_EQ(pass.Run(transpose), SUCCESS);
  55. }
  56. } // namespace ge

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示